{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Extract ships from Sentinel-1 data with AIS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Morten Dam Joergensen <mdj@mdj.dk>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook shows how to combine AIS data relying position information from ships, with Synthetic Aperture Radar Imagery from the ESA Sentinel-1 satellites."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import matplotlib.pylab as plt\n",
    "import rasterio\n",
    "import datetime\n",
    "import hashlib\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "mpl.rcParams['axes.grid'] = False\n",
    "mpl.rcParams['figure.figsize'] = (12,12)\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.image as mpimg\n",
    "import pandas as pd\n",
    "from PIL import Image\n",
    "import re\n",
    "\n",
    "from sentinelsat.sentinel import SentinelAPI, read_geojson, geojson_to_wkt\n",
    "from datetime import date\n",
    "\n",
    "\n",
    "import geopandas as gpd\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "\n",
    "# connect to the API\n",
    "api = SentinelAPI(os.environ['DHUS_USER'], os.environ['DHUS_PASSWORD'], os.environ['DHUS_URL'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "ais_filename = '/home/mdj/Datasets/ais/aisdk_20181006.csv'\n",
    "sar_filename= '/home/mdj/S1A_IW_SLC__1SDV_20181006T054021_20181006T054048_024011_029F96_1702_Orb_Cal_deb_ML_Spk_TC.tif'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "ais_filename = '/home/mdj/Datasets/ais/aisdk_20180608.csv'\n",
    "sar_filename= '/home/mdj/S1A_IW_GRDH_1SDV_20180608T165254_20180608T165319_022268_0268E3_E9D4_Cal_TC.tif'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['S1A', 'IW', 'GRDH', '1SDV', '20180608T165254', '20180608T165319', '022268', '0268E3', 'E9D4', 'Cal', 'TC.tif']\n",
      "IW GRD H 2018-06-08 16:52:54 2018-06-08 16:53:19 022268\n"
     ]
    }
   ],
   "source": [
    "sar_params = re.split(r'_+', sar_filename.split(\"/\")[-1])\n",
    "print(sar_params)\n",
    "\n",
    "\n",
    "sar_sat = sar_params[0]\n",
    "sar_mode = sar_params[1]\n",
    "if len(sar_params[2]) == 4:\n",
    "    sar_product = sar_params[2][:-1]\n",
    "    sar_res_class = sar_params[2][-1]\n",
    "else:\n",
    "    sar_product = sar_params[2]\n",
    "    sar_res_class = '_'\n",
    "sar_start_time = datetime.datetime.strptime(sar_params[4], '%Y%m%dT%H%M%S')\n",
    "sar_end_time = datetime.datetime.strptime(sar_params[5], '%Y%m%dT%H%M%S')\n",
    "sar_orbit = sar_params[6]\n",
    "print(sar_mode, sar_product, sar_res_class,sar_start_time, sar_end_time, sar_orbit)\n",
    "\n",
    "api.query(filename=\"S1A_IW_SLC__1SDV_20181006T054021_20181006T054048_024011_029F96_1702*\")\n",
    "api.query(filename=\"%{sar_sat}s_%{sar_mode}s_SLC__1SDV_20181006T054021_20181006T054048_024011_029F96_1702*\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "51269 21292\n",
      "+init=epsg:4326\n",
      "| 0.00, 0.00, 10.58|\n",
      "| 0.00,-0.00, 56.34|\n",
      "| 0.00, 0.00, 1.00|\n",
      "1\n",
      "(1,)\n"
     ]
    }
   ],
   "source": [
    "with rasterio.open(sar_filename) as sar_ds:\n",
    "    print(sar_ds.width, sar_ds.height)\n",
    "    print(sar_ds.crs)\n",
    "    print(sar_ds.transform)\n",
    "    print(sar_ds.count)\n",
    "    print(sar_ds.indexes)\n",
    "    band1 = sar_ds.read(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_image_at_coord(ds,lon,lat,width,height):\n",
    "    centoid = ds.index(lon, lat)\n",
    "    dx, dy = ds.res  \n",
    "    snip = band1[centoid[0]-int(height//2):centoid[0]+int(height//2), centoid[1]-int(width//2):centoid[1]+int(width//2)]\n",
    "    return snip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2018-10-06 05:40:31.251000\n"
     ]
    }
   ],
   "source": [
    "pos = (12.7048, 55.54)\n",
    "pos_time = datetime.datetime.strptime(\"2018-10-06 05:40:31:251 AM\", '%Y-%m-%d %I:%M:%S:%f %p')\n",
    "print(pos_time)\n",
    "img = extract_image_at_coord(sar_ds, pos[0], pos[1], 256.0, 256.0)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<PIL.Image.Image image mode=L size=256x256 at 0x7FF3A480A438>\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7ff3a478a080>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "im = Image.fromarray(img.astype(np.uint8))\n",
    "print(im)\n",
    "# im.save(\"output.png\", \"PNG\")\n",
    "plt.imshow(img,cmap='gray')\n",
    "# plt.imsave(\"test.png\", img,cmap='gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "img_win = (256, 256)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# Timestamp,Type of mobile,MMSI,Latitude,Longitude,Navigational status,ROT,SOG,COG,Heading,IMO,Callsign,Name,Ship type,Cargo type,Width,Length,Type of position fixing device,Draught,Destination,ETA,Data source type\n",
      "\n"
     ]
    }
   ],
   "source": [
    "timeWindow = 15.0 # Seconds\n",
    "imgs = []\n",
    "\n",
    "sar_time_lw = pos_time - datetime.timedelta(seconds=timeWindow)\n",
    "sar_time_hw = pos_time + datetime.timedelta(seconds=timeWindow)\n",
    "\n",
    "hdr = \"\"\n",
    "with open(ais_filename,'r') as file:\n",
    "    for idx, al in enumerate(file):\n",
    "        if al[0] == \"#\":\n",
    "            print(al)\n",
    "            hdr = al\n",
    "            continue\n",
    "        \n",
    "        al = al.split(',')\n",
    "        ltime = datetime.datetime.strptime(al[0], '%d/%m/%Y %H:%M:%S')\n",
    "        mmsi = al[2]\n",
    "        centroid = (float(al[4]), float(al[3]))\n",
    "        \n",
    "        if ltime < sar_time_lw:\n",
    "            continue \n",
    "            \n",
    "        if ltime > sar_time_hw:\n",
    "            print(ltime - pos_time)\n",
    "            break\n",
    "\n",
    "        if (centroid[0] < sar_ds.bounds.left or centroid[0] > sar_ds.bounds.right) or (centroid[1] < sar_ds.bounds.bottom or centroid[1] > sar_ds.bounds.top):\n",
    "            # Out of bunds\n",
    "            continue\n",
    "            \n",
    "#         if abs((pos_time - ltime).seconds) < timeWindow:\n",
    "#         print(al)\n",
    "#             print(ltime)\n",
    "\n",
    "        img = extract_image_at_coord(sar_ds, centroid[0], centroid[1], img_win[0], img_win[1])\n",
    "        imgs.append((img, centroid, ltime, mmsi, al))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "print(len(imgs))\n",
    "for img in imgs[24:26]:\n",
    "    plt.imshow(img[0],cmap='gray')\n",
    "    plt.show()\n",
    "    print(hdr, img[4])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Segmentation mask generation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ref.: https://www.kaggle.com/stainsby/fast-tested-rle\n",
    "def rle_encode(img):\n",
    "    '''\n",
    "    img: numpy array, 1 - mask, 0 - background\n",
    "    Returns run length as string formated\n",
    "    '''\n",
    "    pixels = img.flatten()\n",
    "    pixels = np.concatenate([[0], pixels, [0]])\n",
    "    runs = np.where(pixels[1:] != pixels[:-1])[0] + 1\n",
    "    runs[1::2] -= runs[::2]\n",
    "    return ' '.join(str(x) for x in runs)\n",
    " \n",
    "def rle_decode(mask_rle, shape):\n",
    "    '''\n",
    "    mask_rle: run-length as string formated (start length)\n",
    "    shape: (height,width) of array to return \n",
    "    Returns numpy array, 1 - mask, 0 - background\n",
    "\n",
    "    '''\n",
    "    s = mask_rle.split()\n",
    "    starts, lengths = [np.asarray(x, dtype=int) for x in (s[0:][::2], s[1:][::2])]\n",
    "    starts -= 1\n",
    "    ends = starts + lengths\n",
    "    img = np.zeros(shape[0]*shape[1], dtype=np.uint8)\n",
    "    for lo, hi in zip(starts, ends):\n",
    "        img[lo:hi] = 1\n",
    "    return img.reshape(shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from skimage.segmentation import chan_vese\n",
    "from skimage.filters import threshold_mean, threshold_minimum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f4f9bae2940>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(imgs[2][0],cmap='gray')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "imid = 22\n",
    "cv = chan_vese(imgs[imid][0], mu=0.08, lambda1=0.01, lambda2=1, tol=1e-4, max_iter=200,\n",
    "               dt=0.5, init_level_set=\"checkerboard\", extended_output=True)\n",
    "\n",
    "thresh = threshold_minimum(cv[1])\n",
    "binary = cv[1] > thresh\n",
    "\n",
    "fig, axes = plt.subplots(2, 2, figsize=(8, 8))\n",
    "ax = axes.flatten()\n",
    "\n",
    "ax[0].imshow(imgs[imid][0], cmap=\"gray\")\n",
    "ax[0].set_axis_off()\n",
    "ax[0].set_title(\"Original Image\", fontsize=12)\n",
    "\n",
    "ax[1].imshow(cv[0], cmap=\"gray\")\n",
    "ax[1].set_axis_off()\n",
    "title = \"Chan-Vese segmentation - {} iterations\".format(len(cv[2]))\n",
    "ax[1].set_title(title, fontsize=12)\n",
    "\n",
    "ax[2].imshow(cv[1], cmap=\"gray\")\n",
    "ax[2].set_axis_off()\n",
    "ax[2].set_title(\"Final Level Set\", fontsize=12)\n",
    "\n",
    "ax[3].plot(cv[2])\n",
    "ax[3].set_title(\"Evolution of energy over iterations\", fontsize=12)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(ncols=2, figsize=(10, 6))\n",
    "ax = axes.ravel()\n",
    "\n",
    "ax[0].imshow(imgs[imid][0], cmap=plt.cm.gray)\n",
    "ax[0].set_title('Original image')\n",
    "\n",
    "ax[1].imshow(binary, cmap=plt.cm.gray)\n",
    "ax[1].set_title('Result')\n",
    "\n",
    "for a in ax:\n",
    "    a.axis('off')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate target masks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from multiprocessing import Pool\n",
    "\n",
    "imgs_mask = []\n",
    "\n",
    "def gen_mask(img):\n",
    "    \n",
    "    # Use skimage to find clusters\n",
    "    cv = chan_vese(img[0], mu=0.08, lambda1=0.01, lambda2=1, tol=1e-4, max_iter=200,\n",
    "               dt=0.5, init_level_set=\"checkerboard\", extended_output=True)\n",
    "\n",
    "    # Apply binary threshold\n",
    "    thresh = threshold_minimum(cv[1])\n",
    "    mask = cv[1] > thresh\n",
    "    \n",
    "    # Calculate RLE\n",
    "    rle = rle_encode(mask)\n",
    "    \n",
    "    return (mask,rle)\n",
    "\n",
    "# Perform multiprocessing on all images\n",
    "with Pool(12) as p: # Run 12 parallel threads\n",
    "        imgs_mask = p.map(gen_mask, imgs)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9999237060546875 7.62939453125e-05\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.999908447265625 9.1552734375e-05\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9998016357421875 0.0001983642578125\n"
     ]
    }
   ],
   "source": [
    "\n",
    "for i in range(0,3):\n",
    "    counts = np.bincount(imgs_mask[i][0].ravel(),minlength=2)\n",
    "    plt.imshow(imgs_mask[i][0])\n",
    "    plt.show()\n",
    "    blank = counts[0]/(img_win[0]*img_win[1])\n",
    "    filled  = counts[1]/(img_win[0]*img_win[1])\n",
    "    print(blank, filled)\n",
    "    if blank < 0.0001:\n",
    "        print(\"Too little selected\")\n",
    "        continue\n",
    "    elif filled > 0.2:\n",
    "        print(\"Too much selected\")\n",
    "        continue"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check that masks are well-formed, otherwise discard image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "valid_imgs = []\n",
    "\n",
    "for i,img in enumerate(imgs):\n",
    "    counts = np.bincount(imgs_mask[i][0].ravel(),minlength=2)\n",
    "#     plt.imshow(imgs_mask[i][0])\n",
    "#     plt.show()\n",
    "    blank = counts[0]/(img_win[0]*img_win[1])\n",
    "    filled  = counts[1]/(img_win[0]*img_win[1])\n",
    "    \n",
    "    if blank < 0.001:\n",
    "#         print(i, \"Too little selected\", (blank, filled))\n",
    "#         plt.imshow(imgs_mask[i][0])\n",
    "#         plt.show()\n",
    "        continue\n",
    "    elif filled > 0.2:\n",
    "#         print(i, \"Too much selected\",(blank, filled))\n",
    "# #         plt.imshow(imgs_mask[i][0])\n",
    "#         plt.show()\n",
    "        continue\n",
    "    \n",
    "    valid_imgs.append(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Save target images and masks to disk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "folder = \"/home/mdj/Datasets/segtest_gray_ds2\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.makedirs(\"%s\" % (folder),exist_ok=True)\n",
    "with open(os.path.join(folder, \"target_mask.csv\"), 'w') as csvf:\n",
    "    csvf.write(\"img,rle_mask\\n\")\n",
    "    for i in valid_imgs:\n",
    "        img = imgs[i]\n",
    "        mask = imgs_mask[i][0]\n",
    "        rle = imgs_mask[i][1]\n",
    "        name = hashlib.sha256(str(img[4]).encode('utf-8')).hexdigest()\n",
    "        classname = img[4][13].replace(\" \", \"\").replace(\"/\",\"\")\n",
    "\n",
    "        os.makedirs(\"%s/%s\" % (folder, classname),exist_ok=True)\n",
    "        plt.imsave(\"%s/%s/%s.png\" % (folder, classname,name), img[0],cmap='gray')\n",
    "        plt.imsave(\"%s/%s/%s_mask.png\" % (folder, classname,name), mask,cmap='gray')\n",
    "        csvf.write(\"%s/%s.png,%s\\n\" % (classname, name, rle))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"['06/10/2018 05:40:17', 'Class A', '248689000', '57.816000', '10.748000', 'Under way using engine', '', '10.3', '293.5', '285', '9507350', '9HA2471', 'WILSON ALGECIRAS', 'Cargo', 'No additional information', '12', '88', 'GPS', '3.3', 'NO. MYRE', '10/10/2018 01:00:00', 'AIS', '74', '14', '7', '5\\\\n']\""
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str(imgs[1][4])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clutter tile generation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_image_at_px(ds,x,y,width,height):\n",
    "    centoid = (x,y)\n",
    "    dx, dy = ds.res  \n",
    "    snip = band1[centoid[0]-int(height//2):centoid[0]+int(height//2), centoid[1]-int(width//2):centoid[1]+int(width//2)]\n",
    "    return snip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "clutterimgs = []\n",
    "for x in range(img_win[0]//2, sar_ds.shape[0], img_win[0]):\n",
    "    for y in range(img_win[1]//2, sar_ds.shape[1], img_win[1]):\n",
    "        clutterimgs.append([extract_image_at_px(sar_ds, x, y, img_win[0], img_win[1]), x,y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8520"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(clutterimgs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7fd72b03dd68>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(clutterimgs[3455][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "classname = \"Clutter\"\n",
    "mask = np.zeros(clutterimgs[0][0].shape)\n",
    "rle = rle_encode(mask)\n",
    "with open(os.path.join(folder, \"clutter_mask.csv\"), 'w') as csvf:\n",
    "    csvf.write(\"img,rle_mask\\n\")\n",
    "    for img in clutterimgs: \n",
    "    #     name = hashlib.sha256(str(img[0]).encode('utf-8')).hexdigest()\n",
    "        name = \"%d-%d\" % (img[1], img[2])\n",
    "\n",
    "\n",
    "        os.makedirs(\"%s/%s\" % (folder, classname),exist_ok=True)\n",
    "        plt.imsave(\"%s/%s/%s.png\" % (folder, classname,name), img[0],cmap='gray')\n",
    "        plt.imsave(\"%s/%s/%s_mask.png\" % (folder, classname,name), mask,cmap='gray')\n",
    "        csvf.write(\"%s/%s.png,%s\\n\" % (classname, name, rle))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preparing RLE masks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "rle = rle_encode(imgs_mask[imid])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f75b4006198>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(np.array(np.round(imgs_mask[imid]),dtype=int))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f75aefd9550>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(rle_decode(rle, imgs[imid][0].shape))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
